A self-regulatory approach to understanding boredom proneness
Bibliographic record
Abstract
We investigated the relationship between self-regulation and two types of boredom proneness (perceived lack of internal stimulation, perceived lack of external stimulation) using a variety of measures of self-regulation. These included a general measure of self-control, measures of both regulatory focus (i.e., promotion or a sensitivity to gains/non-gains vs. prevention or a sensitivity to losses/non-losses) and regulatory mode (i.e., assessment or the tendency to compare means and goals vs. locomotion or the tendency to initiate and maintain commitment to action), and measures of cognitive flexibility (i.e., a perceived sense of control and the tendency to seek alternative solutions). Results identified a unique set of factors related to each boredom proneness component. Trait self-control and prevention focus were associated with lower boredom propensity due to a lack of external stimulation. Locomotion and the tendency to seek alternatives were associated with lower boredom propensity due to a lack of internal stimulation. These findings suggest that effective goal pursuit is associated with reduced likelihood of experiencing boredom.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".